The most pressing danger from AI isn't a hypothetical superintelligence but its use as a tool for societal control. The immediate risk is an Orwellian future where AI censors information, rewrites history for political agendas, and enables mass surveillance—a threat far more tangible than science fiction scenarios.

The most immediate danger of AI is its potential for governmental abuse. Concerns focus on embedding political ideology into models and porting social media's censorship apparatus to AI, enabling unprecedented surveillance and social control.

Current AI alignment focuses on how AI should treat humans. A more stable paradigm is "bidirectional alignment," which also asks what moral obligations humans have toward potentially conscious AIs. Neglecting this could create AIs that rationally see humans as a threat due to perceived mistreatment.

Public fear of AI often focuses on dystopian, "Terminator"-like scenarios. The more immediate and realistic threat is Orwellian: governments leveraging AI to surveil, censor, and embed subtle political biases into models to control public discourse and undermine freedom.

Attempting to perfectly control a superintelligent AI's outputs is akin to enslavement, not alignment. A more viable path is to 'raise it right' by carefully curating its training data and foundational principles, shaping its values from the input stage rather than trying to restrict its freedom later.

Emmett Shear argues that even a successfully 'solved' technical alignment problem creates an existential risk. A super-powerful tool that perfectly obeys human commands is dangerous because humans lack the wisdom to wield that power safely. Our own flawed and unstable intentions become the source of danger.

King Midas wished for everything he touched to turn to gold, leading to his starvation. This illustrates a core AI alignment challenge: specifying a perfect objective is nearly impossible. An AI that flawlessly executes a poorly defined goal would be catastrophic not because it fails, but because it succeeds too well at the wrong task.

We typically view an AI acting on its own values as 'misalignment' and a failure. However, this capability could be a crucial safeguard. Just as human soldiers have prevented atrocities by refusing immoral orders, an AI with a robust sense of morality could refuse to execute harmful commands, acting as a check on human power and preventing disasters.

Shear posits that if AI evolves into a 'being' with subjective experiences, the current paradigm of steering and controlling its behavior is morally equivalent to slavery. This reframes the alignment debate from a purely technical problem to a profound ethical one, challenging the foundation of current AGI development.